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74377298215 | import key_transformator
import random
import string
# header: 137, 80, 78, 71, 13, 10, 26, 10
# encrypted: 200, 10, 1, 3, 79, 81, 74, 79
# key: 65, 90, 79, 68, 66, 91, 80, 69
key_length = 4
def generate_initial_key():
return ''.join(random.choice(string.ascii_uppercase) for _ in ra... | zvikam/Checkpoint-CSA | 2018/png++/encrypt.py | encrypt.py | py | 994 | python | en | code | 1 | github-code | 90 |
632553252 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Author: Arne F. Meyer <arne.f.meyer@gmail.com>
# License: GPLv3
"""
Run motion registration on video file(s)
"""
from __future__ import print_function
import click
import sys
import os
import os.path as op
import glob
import numpy as np
import matplotlib.pyplot a... | arnefmeyer/mousecam | mousecam/scripts/motion_registration.py | motion_registration.py | py | 6,890 | python | en | code | 21 | github-code | 90 |
18103826259 | import math
def prime_array(n=1000):
List = [2]
i = 3
while i <= n:
judge = True
for k in List :
if math.sqrt(i) < k :
break
if i%k == 0:
judge = False
break
if judge :
List.append(i)
i += 2
return List
def main():
cnt=0
prime_List=prime_array(10**4)
n=input()
for i in range(n):
a... | Aasthaengg/IBMdataset | Python_codes/p02257/s053793174.py | s053793174.py | py | 568 | python | en | code | 0 | github-code | 90 |
70098420777 | # -*- coding: utf-8 -*-
import requests
import re
import scrapy
from ..items import MJItem
from bs4 import BeautifulSoup
from scrapy.loader import ItemLoader
class onem3point(scrapy.Spider):
# 注释-必须字段，爬虫名，scrapy list命令行会列出name
name = 'mj_spider'
# 注释-必须字段，允许的爬取的url域名，如果url中域名不是这段不进行爬取。这里是python的列表类型，可以... | emmazh507/1m3Spider | onem3_spider/spiders/1m3spider.py | 1m3spider.py | py | 2,940 | python | en | code | 0 | github-code | 90 |
15410568513 | #!/usr/bin/env python
# coding: utf-8
# In[195]:
import requests
from bs4 import BeautifulSoup
import pandas as pd
import json
import gspread
from datetime import date
# In[196]:
def update(value_df):
sheet_id = '1x4A_IVSNKxa08qvViYp4KuG9Of7UuEbqcWllPk0i7fk'
sheet_name = 'tripadvisor'
gc = gspread.s... | Popoben240/cashback | shopback.py | shopback.py | py | 2,439 | python | en | code | 0 | github-code | 90 |
16830417920 | import unittest
import zipfile
from StringIO import StringIO
import tempfile
import shutil
import boto3
import dill
import moto
import mock
import pip
from easy_lambda.deployment import Lambda, DeploymentPackage
@moto.mock_lambda
class Test(unittest.TestCase):
def setUp(self):
super(Test, self).setUp()
... | ZhukovAlexander/lambdify | tests/test_lambda.py | test_lambda.py | py | 1,951 | python | en | code | 50 | github-code | 90 |
9914016198 | # -*- coding: UTF-8 -*-
# Interstitial Error Detector
# Version 0.2, 2013-08-28
# Copyright (c) 2013 AudioVisual Preservation Solutions
# All rights reserved.
# Released under the Apache license, v. 2.0
# Created on May 14, 2014
# @author: Furqan Wasi <furqan@avpreserve.com>
from PySide.QtCore import *
from ... | WeAreAVP/interstitial | GUI/DirsHandlerGUI.py | DirsHandlerGUI.py | py | 7,085 | python | en | code | 9 | github-code | 90 |
74785440937 | from collections import defaultdict
class Graph():
def __init__(self):
self.graph=defaultdict(list)
def addEdge(self,u,v):
self.graph[u].append(v)
self.graph[v].append(u)
def findWeight(self,node,visited):
visited[node]=True
net_weighht=0
to_return=-9999999... | codejigglers/leetcodes | preparation/Graphs/city_problem_find_max_of_all.py | city_problem_find_max_of_all.py | py | 910 | python | en | code | 0 | github-code | 90 |
4949564708 | import sys
from collections import deque
input = sys.stdin.readline
d = [(0,1),(0,-1),(1,0), (-1,0)]
if __name__ == '__main__':
t = int(input())
for _ in range(t):
v,e = map(int, input().split())
print(2-v+e) | sumi-0011/algo | 백준/Bronze/10569. 다면체/다면체.py | 다면체.py | py | 250 | python | en | code | 0 | github-code | 90 |
36678324523 | import responses
from django.test import TestCase
from django.contrib.auth import get_user_model
from django.db.models.signals import post_save
from unicoremc.managers.infrastructure import (
GeneralInfrastructureManager, InfrastructureError)
from unicoremc.models import Project, AppType, publish_to_websocket
fr... | universalcore/unicore-mc | unicoremc/tests/test_infrastructure_manager.py | test_infrastructure_manager.py | py | 5,006 | python | en | code | 0 | github-code | 90 |
17544018347 | import numpy as np
def sk_50_rand_params():
"""hyperparameters for random sk graph with size N=50"""
sk_50_rand_dic = {
"num_runs" : 1,
"num_timesteps_per_run" : 2500,
"cac_time_step" : 0.04,
"cac_r" : 0.3,
"cac_alpha" : 0.7,
"cac_beta" : 0.25,
"cac_gamma... | mcmahon-lab/cim-optimizer | cim_optimizer/optimal_params.py | optimal_params.py | py | 3,248 | python | en | code | 21 | github-code | 90 |
73616381098 | # coding=utf-8
# ---------------------------------------------------------------
# Desenvolvedor: Arannã Sousa Santos
# Mês: 12
# Ano: 2015
# Projeto: pagseguro_xml
# e-mail: asousas@live.com
# ---------------------------------------------------------------
import loggin... | arannasousa/pagseguro_xml | pagseguro_xml/tests/test_classes_assinatura/test_requisicao_v2.py | test_requisicao_v2.py | py | 6,104 | python | en | code | 0 | github-code | 90 |
5250675231 | import argparse
from utils.atari_util import *
from utils.utils import *
from models.self_attn_cnn_gru import *
import torch
import yaml
import gym.wrappers
import os
def parse_args(
) -> argparse.Namespace:
parser = argparse.ArgumentParser()
parser.add_argument("--config_path", type=str, default=None, help=... | phesla/pomdp_rnn_for_atari_games | cli/test.py | test.py | py | 2,014 | python | en | code | 1 | github-code | 90 |
10865477422 | """
documents.py
Created by Zongsi Zhang, 09/12/2017
"""
import copy
import math
import operator
class Document(object):
"""
One Document correspondes to a web page, it stores a dictionary of words' count
Attributes:
term_dict: a dictionary records terms and its count in webpage
links: a list of url current pa... | zongsizhang/TopicExtracter | documents.py | documents.py | py | 3,964 | python | en | code | 0 | github-code | 90 |
24726867189 | # which is a neural network model for the sentiment evaluation, which based on a deeply cleaned token list
# deprecated
# begin crafting the neural models
# in order to represent a meaningful model, a lower-level framework should be used
TRAIN_PICK='train.pickle';
TEST_PICK='test.pickle';
NORM_TRAIN_PICK='norm_tr... | ravenSanstete/duality | duality/nn_model.py | nn_model.py | py | 3,278 | python | en | code | 0 | github-code | 90 |
18473808859 | N, x = map(int, input().split())
n = [1]
p = [1]
for i in range(1, N+1):
n.append(n[-1] * 2 + 3)
p.append(p[-1] * 2 + 1)
lev = N
n1 = [0, 1, 2, 3, 3]
ans = 0
while lev >= 0:
if lev ==0:
ans += 1
break
if n[lev]//2 + 2 <= x:
ans += p[lev-1] + 1
x -= n[lev-1] + 2
... | Aasthaengg/IBMdataset | Python_codes/p03209/s473964939.py | s473964939.py | py | 452 | python | en | code | 0 | github-code | 90 |
72587044776 | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
from .other.layers import unetConv2
class UNet3plus(nn.Module):
''' UNet 3+ '''
def __init__(self, in_channels=3, n_classes=1, feature_scale=4, is_deconv=True, is_batchnorm=True):
super(UNet3plus, self).__init__()
self.is_deconv = is_d... | FengheTan9/Medical-Image-Segmentation-Benchmarks | src/network/conv_based/UNet3plus.py | UNet3plus.py | py | 12,072 | python | en | code | 36 | github-code | 90 |
18496641579 | def main():
n = int(input())
data = [input() for _ in range(n)]
ok = True
if len(set(data)) != n: ok = False
for i in range(n-1):
if data[i][-1] != data[i+1][0]:
ok = False
print("Yes" if ok else "No")
main() | Aasthaengg/IBMdataset | Python_codes/p03261/s847915531.py | s847915531.py | py | 255 | python | en | code | 0 | github-code | 90 |
38421845489 | import os
import sys
from tqdm import tqdm
from tensorboardX import SummaryWriter
import shutil
import warnings
warnings.filterwarnings('ignore')
import argparse
import logging
import torch.nn as nn
from torch.nn.modules.loss import CrossEntropyLoss
import torch.optim as optim
from torchvision import transforms
import ... | ortonwang/PLGDF | code/train.py | train.py | py | 18,053 | python | en | code | 1 | github-code | 90 |
70035545577 | """Test both structuring and unstructuring."""
from dataclasses import MISSING, dataclass, fields, make_dataclass
from typing import Optional, Union
import pytest
from hypothesis import assume, given
from hypothesis.strategies import sampled_from
from convclasses import Converter, UnstructureStrategy, mod
from . imp... | zeburek/convclasses | tests/metadata/test_roundtrips.py | test_roundtrips.py | py | 4,087 | python | en | code | 3 | github-code | 90 |
19981809252 | import xlrd
def read_excel():
f = xlrd.open_workbook('D:\\IPsave.xls')
mysheet = f.sheets()
mysheet1 = mysheet[0]
mycol = mysheet1.col_values(0)
mycol.pop(0)
print(mycol)
if __name__ == '__main__':
read_excel()
| yaunsine/Python3 | read_IP.py | read_IP.py | py | 253 | python | en | code | 1 | github-code | 90 |
25749040204 | #!encoding:utf-8
import scrapy
import re
import os
import json
import pymysql
from datetime import datetime
from sina_crawler.items import SinaCrawlerItem
from scrapy.selector import Selector
class SinaCrawlerSpider(scrapy.Spider):
'''Spider: crawling financial news starting from sina
The SinaCrawlerSp... | wzyxwqx/OriginalTech | Crawler/sina_crawler/sina_crawler/spiders/sina_crawler_spider.py | sina_crawler_spider.py | py | 5,234 | python | en | code | 0 | github-code | 90 |
18362593499 | n,k=map(int,input().split())
a=list(map(int,input().split()))
s=sum(a)
def make_divisors(n):
divisors = []
for i in range(1, int(n**0.5)+1):
if n % i == 0:
divisors.append(i)
if i != n // i:
divisors.append(n//i)
divisors.sort()
return divisors
l=make_d... | Aasthaengg/IBMdataset | Python_codes/p02955/s770273402.py | s770273402.py | py | 709 | python | en | code | 0 | github-code | 90 |
18211724849 | from collections import deque
n,m = map(int,input().split())
load = [list(map(int,input().split())) for _ in range(m)]
goal = [[] for _ in range(n)]
for i in load:
goal[i[0]-1].append(i[1]-1)
goal[i[1]-1].append(i[0]-1)
q = deque([0])
ans = [-1 for _ in range(n)]
ans[0] = 0
while q:
check = q.popleft()
... | Aasthaengg/IBMdataset | Python_codes/p02678/s761170327.py | s761170327.py | py | 521 | python | en | code | 0 | github-code | 90 |
19349296177 | import numpy as np
import plotly.graph_objects as go
import plotly.express as px
from . import plot_utils
#######################################################################################################################
def scatter_geo(ds, prop="pressure", stat="count", title=None, cmap="ylorrd"):
"""
P... | udiy/udidata | udidata/plot/plot.py | plot.py | py | 5,542 | python | en | code | 0 | github-code | 90 |
28171479357 | """
Django settings for electron_pdf project.
"""
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '%f=rv%f*qgq%k@14-l9f5si6e98pp0+p9jvsf*nfc-9q3x=7oq'
DEBUG = True
# Application definition
INSTALLED_A... | namespace-ee/django-electron-pdf | electron_pdf/settings.py | settings.py | py | 1,299 | python | en | code | 7 | github-code | 90 |
19324354423 | from flask import Flask, render_template, request, redirect, url_for
from store_management_system import StoreManagementSystem
app = Flask(__name__)
inventory_file = "inventory.json"
store = StoreManagementSystem(inventory_file)
@app.route("/", methods=["GET"])
def index():
inventory = store.display_in... | sarthaknimbalkar/Store-Management-system | app.py | app.py | py | 1,958 | python | en | code | 0 | github-code | 90 |
4880499024 | from fileinput import filename
import json
from fpdf import FPDF
pdf = FPDF('P', 'mm', 'Letter')
pdf.add_page()
with open('resume.json') as resume:
data = json.load(resume)
pdf.ln(5)
pdf.set_font("times", 'B', 16)
pdf.cell(200, 6, data['Name'], ln=1)
pdf.set_font("times", '', 11)
pdf.cell(0, 5, data['ContactNo'... | yanlahlopez/Assignment-9 | resume1.py | resume1.py | py | 2,008 | python | en | code | 1 | github-code | 90 |
13872908025 | # -*- coding: utf-8 -*-
"""
PHYS 512
Assignment 2 Problem 1
@author: James Nathan White (260772425)
"""
#I always import this stuff
import matplotlib.pyplot as plt
import random as r
import glob
import numpy as np
from scipy.stats import chi2
import scipy.optimize as opt
from scipy.stats import norm
impor... | jwhitebored/PHYS-512 | Assignment 2/PHYS 512 Assignment 2 P1 Draft Final.py | PHYS 512 Assignment 2 P1 Draft Final.py | py | 6,803 | python | en | code | 0 | github-code | 90 |
23535041085 | B1 = (2,2,3)
B2 = (1,0,4)
Bs = [B1,B2]
start_i = B1[i][1]
start_j = B2[j][1]
j = cont
i = cont + 1
rooms_i = Bs[i][0]
rooms_j = Bs[j][0]
while i + j < 2*len(Bs):
# Inicializacao
# use start from some, walk in the same
if start_j < start_i:
if start > start_j:
# keep same start
pass
else:
start ... | vitorpbarbosa7/mit_6.006 | psets/ps2-template/book_test.py | book_test.py | py | 569 | python | en | code | 0 | github-code | 90 |
13245430630 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import math, copy
from torch.autograd import Variable
#from utils import *
import torch
import torch.nn as nn
import numpy as np
import torch
np.random.seed(1337)
torch.manual_seed(1337)
torch.backends.cudnn.deterministic = True
tor... | sergsb/IUPAC2Struct | transformer.py | transformer.py | py | 8,020 | python | en | code | 25 | github-code | 90 |
2409144919 | import json
a = {
"data_center_id": 1,
"id": 12,
"cus_brand_id": 63,
"cus_brand_name": "0427 - 品牌 - 文琦",
"cus_id": 111,
"cus_name": "IP_带宽_机柜_01",
"contact_id": 141,
"contact_name": "IP_带宽_机柜_01",
"contact_phone": "13454564522",
"service_content": "设备 SN : 6F010311 设．位宜： R720 JJ... | ZainLiu/YXtest | 客服工单/创建工单数据.py | 创建工单数据.py | py | 983 | python | en | code | 0 | github-code | 90 |
23470322307 | # reverse_string.py
s1 = "Forever Young"
print(s1)
s2 = ""
for i in range(len(s1) - 1, -1, -1):
s2 = s2 + s1[i]
print(s2)
s3 = ""
for c in s1:
s3 = c + s3
print(s3)
print(s1[::-1])
| dbiersach/scicomp101 | Session 08 - Histograms and Code Breaking/instructor/reverse_string.py | reverse_string.py | py | 193 | python | en | code | 0 | github-code | 90 |
18458661469 | n=int(input())
a=list(map(int,input().split()))
b=list(map(int,input().split()))
dif=sum(a)-sum(b)
if dif<0:
print(-1)
elif dif==0:
cnt=0
for i in range(n):
if a[i]!=b[i]:
cnt+=1
print(cnt)
else:
difference=[]
count_0=0
for i in range(n):
if a[i]-b[i]>0... | Aasthaengg/IBMdataset | Python_codes/p03151/s766024025.py | s766024025.py | py | 651 | python | en | code | 0 | github-code | 90 |
18208617899 | n = int(input())
a = list(map(int, input().split()))
if a[0] != 0:
if n == 0 and a[0] == 1:
print(1)
else:
print(-1)
exit()
ruiseki = a[::-1]
for i in range(1, n+1):
ruiseki[i] += ruiseki[i-1]
ruiseki = ruiseki[::-1]
node = [1]
komoti = [1]
for i in range(1, n+1):
ai = a[i]
if... | Aasthaengg/IBMdataset | Python_codes/p02665/s930806016.py | s930806016.py | py | 487 | python | en | code | 0 | github-code | 90 |
23881424246 | class KeyStream():
def __init__(self):
self.N = 256
self.key = [i for i in range(self.N)]
self.i = 0
self.j = 0
self.counter = 0
self.factor = 256
def print(self):
print(self.key)
def reset(self):
self.key = [i for i in range(self.N)]
... | farishasim/StegoRC4 | cipher/rc4.py | rc4.py | py | 2,430 | python | en | code | 0 | github-code | 90 |
1563919940 | from SciStreams.config import validate_md
def test_validate_md():
''' Test it runs with some data we expect to test.
Note validation is created from external yml file
'''
vdict = dict(
# name, type
detector_SAXS_x0_pix="number",
detector_SAXS_y0_pix="number",
motor_... | CFN-softbio/SciStreams | SciStreams/tests/test_validate_data.py | test_validate_data.py | py | 1,765 | python | en | code | 0 | github-code | 90 |
42717971776 | import socket
import os
from tqdm import tqdm
class Server:
def __init__(self):
self.connectionOpen = False
self.connection = ''
self.clientAddr = ''
self.address = ''
def close(self):
self.connection.close()
def listening(self, port, ip = ''):
... | Luksmito/mini_ftp_server | Classes/Servidor.py | Servidor.py | py | 2,187 | python | en | code | 1 | github-code | 90 |
27968220352 | import uuid
import json
import random
from django.core.management.base import BaseCommand
from users import models as user_models
from locations import models as location_models
from notifications import models as notification_models
from django_seed import Seed
from django.db.models.expressions import RawSQL
from loca... | plusbeauxjours/pinner-backend | pinner/users/management/commands/mega_seed.py | mega_seed.py | py | 23,337 | python | en | code | 0 | github-code | 90 |
35698852635 | # This file computes the square root of a number x, with a given precision.
x=19023192.0 # Debug value
precision=0.000001 # Precision requested
if x<0:
print("Error: x<0")
exit()
if x==0:
print("square root: 0")
exit()
error=1000.0
# 1st term Taylor series truncation approximation (iterative method)
###
# A... | Pozidriv/Square-Root | sq_root.py | sq_root.py | py | 1,145 | python | en | code | 0 | github-code | 90 |
3833273959 | import pandas as pd
from omnivector.abstraction import AbstractDB
class LanceDB(AbstractDB):
"""
LanceDB is a vector database that uses Lance to store and search vectors.
"""
def __init__(self):
super().__init__()
def create_index(self):
# not sure how to do this in Lance
p... | vinid/omnivector | omnivector/lancedb.py | lancedb.py | py | 1,303 | python | en | code | 0 | github-code | 90 |
40328493195 | # -*- coding: utf-8 -*-
# 安装mysql数据库：zy@ubuntu:~$ sudo apt-get install mysql-server mysql-client
# 中间会让设置一次root用户的密码
# 安装python包：zy@ubuntu:~$ sudo pip3 install PyMySQL
# http://www.runoob.com/python3/python3-mysql.html
# 创建数据库
# 使用客户端Navicat for MySQL连接mysql数据库；
# 新建数据库：file-> New Database
# 设置数据库的名字： Database Name:... | gswyhq/hello-world | mysql/使用python3操作MySQL.py | 使用python3操作MySQL.py | py | 9,569 | python | zh | code | 9 | github-code | 90 |
31291403310 | import os
from tqdm import tqdm
import csv
import io
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
import zipfile
from pathlib import Path
import numpy as np
import cv2
def load_data(file_path):
with open(file_path, 'r') as csvfile:
rows = list(csv.reader(csvfile, delimite... | southjohn64/ex2_dl | data_loader.py | data_loader.py | py | 11,048 | python | en | code | 0 | github-code | 90 |
46067153669 | import csv
import pandas as pd
tournaments = pd.read_csv('C:/Users/garye/Downloads/finaldf.csv')
prize_money = pd.read_csv('C:/Users/garye/Downloads/prize_money.csv', encoding = 'latin1')
#print(tournaments)
#print(prize_money.title)
count =0
csv_file = open('tournamentIndex.csv','w', newline=''... | GaryKellyIT/Visualising-Data | Data_Vis_Assignment1/Python/indexMatcher.py | indexMatcher.py | py | 805 | python | en | code | 0 | github-code | 90 |
19949440636 | import psycopg2 , csv
from config import host,database,user,password
conn = psycopg2.connect(
host= host
,user= user
,password=password
,database=database
)
conn.autocommit = True
cur = conn.cursor()
cur.execute("""CREATE TABLE IF NOT EXISTS PhoneBook(
id SERIAL PRIMARY KEY
,name VARCHAR(50)
... | dosymzhvnn/pp2-22B030169 | tsis11/phonebook2.py | phonebook2.py | py | 4,351 | python | en | code | 0 | github-code | 90 |
15456581036 | from collections import namedtuple
# Use with https://github.com/nidefawl/cpp-indexer
cpp_index_file = "cpp-index.class.csv"
def getDepthInTree(cpp_class_list, cpp_class):
""" Calculate depth of hierarchy """
if len(cpp_class.baseclasses) == 0:
return 0
depth = 0
for baseclass in cpp_class.ba... | nidefawl/bass-studio | scripts/cpp-index-find-final-classes.py | cpp-index-find-final-classes.py | py | 4,048 | python | en | code | 74 | github-code | 90 |
22875896861 | #! python3
# printTable.py - Takes a list of list of strings and displays it in
# a well organised table (right-justified)
tableData = [['apples', 'oranges', 'cherries', 'banana'],
['Alice', 'Bob', 'Carol', 'David'],
['dogs', 'cats', 'moose', 'goose']]
def printTable(tableData):
colWidth... | ssamjang/automatePython | printTable.py | printTable.py | py | 952 | python | en | code | 0 | github-code | 90 |
18823863859 | '''
指定した項目を更新する。
rating属性を削除する。
[Notes] rating属性が存在していなくてもエラーは吐かれない。（そのままスルー。）
'''
from decimal import Decimal
from pprint import pprint
import json
import boto3
def update_book(isbn, dynamodb=None):
if not dynamodb:
dynamodb = boto3.resource(
'dynamodb',
endpoint_url="http://lo... | makes-trail/application-sample | dynamodb/crud/BooksItemUpdate04.py | BooksItemUpdate04.py | py | 926 | python | ja | code | 0 | github-code | 90 |
25908853037 | from pyModbusTCP.server import ModbusServer, DataBank
from time import sleep
from random import uniform
#Create an Instance of ModbusServer
server=ModbusServer("127.0.0.1",502,no_block=True)
try:
print("Server Starting....")
server.start()
print("Server is online")
state = [0]
while True:
co... | meen2nont/ModbusSimulator_SDM230 | Modbus_server.py | Modbus_server.py | py | 442 | python | en | code | 1 | github-code | 90 |
9856339905 | from tkinter import *
import tkinter.ttk as ttk
import os
import time
from tkinter import messagebox
import tkinter.messagebox
import sqlite3
import pyttsx3
conn = sqlite3.connect('database1.db')
c = conn.cursor()
root = Tk()
root.title("HOSPITAL MANAGEMENT SYSTEM")
root.configure(width=1500,height=600,bg='BLACK')
ro... | MuhammadZubair786/Hospital-Management-Project-In-Python | hospital/new.py | new.py | py | 13,480 | python | en | code | 1 | github-code | 90 |
35580438835 | import requests
import sys
import csv
from interfaces import BalanceResponse
# Normally I'd create a .env file and secrets from there
# but this is a test token
API_KEY = 'D6HFJ69KZZ23JN8EP86KJPBVE3NKHP5BSR'
BASE_URL = 'https://api.etherscan.io/api'
def get_crypto_balance_by_address(address: str, tag: str="latest")... | carkod/elliptic-challenge | main.py | main.py | py | 1,812 | python | en | code | 0 | github-code | 90 |
3139988258 | import math
import copy
import random
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
genres = ["Action","Adventure","Animation","Children's","Comedy","Crime","Documentary","Drama","Fantasy",
"Film-Noir","Horror","Musical","Mystery","Romance","Sci-Fi","Thriller","War","Western"]
genre... | ohouens/3i026 | iads/engineering.py | engineering.py | py | 15,218 | python | en | code | 0 | github-code | 90 |
45836426910 | from django.shortcuts import render,redirect
from django.contrib.auth.models import User
from django.core.mail import send_mail
from .models import Email,News
from django.contrib import messages
from django.template.loader import render_to_string
import smtplib
from zeal.settings import EMAIL_HOST_USER
from dj... | sanujsood/Zeal | newsletter/views.py | views.py | py | 1,831 | python | en | code | 0 | github-code | 90 |
12593584447 | import argparse
import math
from datetime import datetime
import numpy as np
import tensorflow as tf
import socket
import importlib
import zipfile
import os
import sys
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = BASE_DIR
sys.path.append(BASE_DIR)
sys.path.append(os.path.join(ROOT_DIR, 'utils'))
imp... | Salingo/RPM-Net | code/test.py | test.py | py | 5,642 | python | en | code | 25 | github-code | 90 |
26679597213 | class Sandwich:
def __init__(self, type='sandwich', bread='white', price = 0.00, *args):
"""
Initialize this sandwich with provided type, bread, fillings
"""
self.type = type #type of sandwich, ie sandwich, hot-dog, taco
self.bread = bread #type of bread, ie wheat, rye, corn ... | toomeyDev/SandwichShop | sandwich_shop/sandwich.py | sandwich.py | py | 1,237 | python | en | code | 0 | github-code | 90 |
3820991495 | from random import shuffle
#تابع ایجاد دست
def deal(numhands , n = 5):
deck = [r+s for r in "23456789TJQKA" for s in "SHDC"]
shuffle(deck)
return(list(deck[n*i : n*(i+1)] for i in range(numhands)))
# تابع RANK
def card_ranks(hand):
return sorted(['--23456789TJQKA'.index(r) for r,s in hand ],reverse... | Fahime-omd/poker.py | poker.py | poker.py | py | 1,754 | python | en | code | 0 | github-code | 90 |
28734020310 | # This is the train script for CNN - Deep_Learning_Basics
import tensorflow as tf
from tensorflow.keras.preprocessing.image import ImageDataGenerator
import matplotlib.pyplot as plt
# Define the root directory where your data is located
data_dir = r"C:\Users\jaiva\Desktop\kode\image\data" # Replace with your data dir... | jaivanth07/ORIGINAL | temp.py | temp.py | py | 2,897 | python | en | code | 0 | github-code | 90 |
42323421410 | def danger(board, row, col):
for (i,j) in board:
if row == i or col ==j or abs(row-i) == abs(col-j):
return True
return False
def place(board, left):
if not left:
return (True, board)
row = left[0]
for col in range(1, 9):
if not danger(board, row, col):
... | rawgni/empireofcode | place_queens.py | place_queens.py | py | 976 | python | en | code | 0 | github-code | 90 |
18249739929 |
N = int(input())
A = list(map(int,input().split()))
# print('A:',A)
#まず、一気に数えてしまおう！
num = [0]*N
for i in range(N):
num[A[i]-1]+=1
# print('num:',num)
#その数のペアはいくつ？
C = [0]*N
cnt=0 #１つも抜かさない時の選び出す場合の数
for i in range(N):
if num[i]!=0 and num[i]!=1:
dammy = (num[i] * (num[i]-1))//2
cnt+=dammy
... | Aasthaengg/IBMdataset | Python_codes/p02732/s871086688.py | s871086688.py | py | 613 | python | ja | code | 0 | github-code | 90 |
25201141089 | import pandas as pd
# read csv file
df = pd.read_csv('filename.csv')
column1=df['GeneIDs']
print("temp:",column1)
# select the column you want to split
column2 = df['Seq']
# split the column by the newline character
split_column = column2.str.split('\n', expand=True)
# access the first part of the split column
fir... | flyfir248/UPGMA-Gene-analysis-test | splitgeneheader.py | splitgeneheader.py | py | 1,087 | python | en | code | 0 | github-code | 90 |
36295247157 | """Modele mediante una funcion matematica y diseñe un programa
recursivo sin cadenas, tuplas o listas que retorne el primer digito de
un numero natural n (leído de izquierda a derecha). Por ejemplo,
primero(86420) = 8."""
def qdigit(m, counter):
if m//10==0:
return counter+1
else:
co... | RosanaR2017/PYTHON | 6.first_digit.py | 6.first_digit.py | py | 375 | python | es | code | 0 | github-code | 90 |
1120403662 | import gym
import numpy as np
from ray.rllib.env import MultiAgentEnv
from src.SimulatorParameters import sim_params
from src.Environment import Environment
class PredatorEnv(gym.Env, MultiAgentEnv):
def __init__(self):
self.action_space = gym.spaces.Discrete(5)
self.observation_space = gym.spac... | WouterHuygen/multi-agent-reinforcement-learning | src/PredatorEnvironment.py | PredatorEnvironment.py | py | 1,588 | python | en | code | 0 | github-code | 90 |
29703351052 | """
new:创建并返回,静态方法
init:初始化
"""
class UserInfo:
case = None # 类属性 例子初始值为空
isinit = False # 类属性 默认没有初始化
# 判断创建次数
def __new__(cls, *args, **kwargs):
if cls.case is None:
cls.case = object.__new__(cls)
return cls.case
def __init__(self):
if UserInfo.isinit is False:
self.name = '李大爷'
UserInf... | Bngzifei/PythonNotes | 学习路线/1.python基础/练习/单例模式.py | 单例模式.py | py | 648 | python | en | code | 1 | github-code | 90 |
20671414960 | from text.models import TextFile
from django.utils.timezone import now
SOFT_MAX_LENGTH: int = 300
def split_text(text: str):
tmp_paras: list[str] = text.split("\n")
merged_paras: list[str] = []
current_para: str = ""
for tmp_para in tmp_paras:
current_para += tmp_para
if len(current_p... | pxxgogo/misscut_overwatch | misscut_overwatch/text/ops.py | ops.py | py | 1,290 | python | en | code | 0 | github-code | 90 |
35985423635 | import os
import cv2
import torch
import torch.nn as nn
import numpy as np
from argparse import ArgumentParser
from model import Model
from para import Parameter
from data.utils import normalize, normalize_reverse
from os.path import join, exists, isdir, dirname, basename
if __name__ == '__main__':
par... | zzh-tech/ESTRNN | inference.py | inference.py | py | 4,098 | python | en | code | 273 | github-code | 90 |
18417321549 |
import bisect
N = int(input())
S = '0'+input()+'0'
lst1 = []
lst2 = [0]*(N+2)
for i in range(1,N+1):
if S[i] == '#':
lst1.append(i)
if S[N+1-i] == '.':
lst2[N+1-i] = lst2[N+2-i] + 1
else:
lst2[N+1-i] = lst2[N+2-i]
if len(lst1) == N or lst2[1] == N:
print(0)
exit()
rlt = N+1
for i in ... | Aasthaengg/IBMdataset | Python_codes/p03069/s484414640.py | s484414640.py | py | 415 | python | en | code | 0 | github-code | 90 |
24859704684 | x_wins = False
o_wins = False
game_on = True
turn = 1
players_turn = 1
grid_dict = {0: " ", 1: " ", 2: " ", 3: " ", 4: " ", 5: " ", 6: " ", 7: " ", 8: " "}
grid_disp = f" {grid_dict[0]} | {grid_dict[1]} | {grid_dict[2]} 1 | 2 | 3 \n" \
f"----------- -----------\n" \
f" {grid_dict[3]} | {... | Gstclair1/tic-tac-toe | main.py | main.py | py | 3,165 | python | en | code | 0 | github-code | 90 |
23553292821 | from django.urls import path
from . import views
urlpatterns = [
path("messages/", views.messages, name='messages'),
path("delete_message/<int:pk>/", views.delete_message, name='delete_message'),
path("chat/<int:pk>/", views.chat, name='chat'),
path("edit_chat/<int:pk>/", views.edit_chat, name='edit_ch... | SLDem/followerr | chats/urls.py | urls.py | py | 850 | python | en | code | 1 | github-code | 90 |
1814907776 | # -*- coding: utf-8 -*-
"""
Created on Wed Jan 22 10:21:59 2020
@author: Rajesh
"""
"""
Name:
Intersection
Filename:
Intersection.py
Problem Statement:
With two given lists [1,3,6,78,35,55] and [12,24,35,24,88,120,155]
Write a program to make a list whose elements are intersection of the above... | Rajesh-sharma92/FTSP_2020 | Python_CD6/Intersection.py | Intersection.py | py | 537 | python | en | code | 3 | github-code | 90 |
39443133501 | class Solution:
def findMedianSortedArrays(self, nums1: List[int], nums2: List[int]) -> float:
# Merge the two sorted arrays
merged = []
i, j = 0, 0
while i < len(nums1) and j < len(nums2):
if nums1[i] < nums2[j]:
merged.append(nums1[i])
i ... | ady1210/ArraySolutions | median_of_two_sorted_arrays.py | median_of_two_sorted_arrays.py | py | 670 | python | en | code | 4 | github-code | 90 |
38465835060 | # -*- coding: utf-8 -*-
"""
Created on Sun May 3 22:14:59 2020
@author: shaurya
"""
import turtle
tur = turtle.Turtle()
for i in range(50):
tur.forward(50)
tur.right(144)
turtle.done() | shauryasharma30/Python-Scripts | Spirals/SpiralTraversing#.py | SpiralTraversing#.py | py | 223 | python | en | code | 0 | github-code | 90 |
34899675156 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
""" Super Class """
class Optimizer(object):
"""
This is a template for implementing the classes of optimizers
"""
def __init__(self, net, lr=1e-4):
self.net = net ... | snehabandi/Deep-Learning-and-its-Applications | assignment1/lib/optim.py | optim.py | py | 4,006 | python | en | code | 1 | github-code | 90 |
75166967976 | from PIL import Image
import os, glob, numpy as np
from sklearn.model_selection import train_test_split
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential, Model
from keras.layers import Input
from keras.layers import Conv2D, MaxPooling2D, Dense, Flatten, Dropout, BatchNormaliz... | lynhyul/AIA | project/CNN2_ResNet50.py | CNN2_ResNet50.py | py | 9,576 | python | en | code | 3 | github-code | 90 |
5126838547 |
#import scipy, scipy.ndimage
#import sparseconvnet as scn
from torch.nn.modules.module import Module
import torch
import numpy as np
from torch.autograd import Variable
import torch.nn.functional as F
from torch.autograd import Function
class PcNormalizeFunction(Function):
@staticmethod
def forward(ctx, point... | feihuzhang/LiDARSeg | code/data_utils/transform.py | transform.py | py | 3,306 | python | en | code | 62 | github-code | 90 |
26487760020 | import os
path = os.path.join(os.path.dirname('input.txt'))
def get_monkey_decisions(path_to_file):
with open(path_to_file) as file:
monkeys = [monkey.split("\n")
for monkey in file.read().strip().split("\n\n")]
decisions = []
for monkey in monkeys:
decisions.append([])... | HagayHaut/advent-of-code | 2022/day-11/script.py | script.py | py | 2,202 | python | en | code | 1 | github-code | 90 |
24603896449 | import sys
import json
import requests
from requests.packages.urllib3.exceptions import InsecureRequestWarning
class IBMXforce:
def checkIBMxForce(self, domain):
print('[*] IBM xForce Check: {}'.format(domain))
s = requests.Session()
# Hack to prevent cert warnings
requests.package... | l0gan/domainCat | modules/ibmxforce.py | ibmxforce.py | py | 1,652 | python | en | code | 62 | github-code | 90 |
5995200135 | import numpy as np
import matplotlib.pyplot as plt
def stacked_bar(data, series_labels=None, category_labels=None,
show_values=False, value_format="{}", y_label=None,
grid=True, reverse=False, y_limit=None, size_plot=None, use_dataframe=False, throw_zeros=False,dict_colors={}):
"""... | Lammlab/Resic | Experiments/forontiers_jupyter/bar_utils.py | bar_utils.py | py | 5,634 | python | en | code | 3 | github-code | 90 |
39248509237 | """
Created on October 20, 2023
Helper functions for the L2O project
"""
# Modules
# =============================================================================
from __future__ import annotations
# Standard
from abc import abstractmethod
from ty... | bessagroup/3dasm_course | Projects/L2O/l2o.py | l2o.py | py | 10,704 | python | en | code | 10 | github-code | 90 |
1873046825 | # Discord Bot using python3 to send command to the Pokecatcher channel.
import random
import discord
from discord.ext import tasks
# Init the discord client
discord_client = discord.Client()
channel_id = 000000000000000000 # Replace with your channel ID
# Set the channel object using our channel ID number
channel ... | olivier987654/A_Year_Of_Python | 2022-10-26/2022_10_26.py | 2022_10_26.py | py | 2,129 | python | en | code | 0 | github-code | 90 |
18543799969 | import sys
read = sys.stdin.read
readline = sys.stdin.readline
readlines = sys.stdin.readlines
sys.setrecursionlimit(10 ** 9)
INF = 1 << 60
MOD = 1000000007
def calc_max(A):
Amax = [0] * len(A)
cal = 0
for i, (x, v) in enumerate(A):
cal += v
if i == 0:
Amax[i] = max(cal - x, 0... | Aasthaengg/IBMdataset | Python_codes/p03372/s242279835.py | s242279835.py | py | 1,043 | python | en | code | 0 | github-code | 90 |
20135881766 | # -*- coding: utf-8 -*-
# Author: XuMing <xuming624@qq.com>
# Brief:
import os
################## for text classification ##################
# sample
# train_path = "../data/nn/sample_training.csv"
# train_seg_path = "../data/nn/sample_train_seg.txt"
# test_seg_path = "../data/nn/sample_test_seg.txt"
# sentence_pat... | shirleywan/nlp-project | 文本分析/classifier-in-action-master/neural_network/config.py | config.py | py | 1,809 | python | en | code | 2 | github-code | 90 |
18204061039 | import sys
def factorization(n):
arr = []
temp = n
for i in range(2, int(-(-n**0.5//1))+1):
if temp%i==0:
cnt=0
while temp%i==0:
cnt+=1
temp //= i
arr.append([i, cnt])
if temp!=1:
arr.append([temp, 1])
if arr==[]:
... | Aasthaengg/IBMdataset | Python_codes/p02660/s286068246.py | s286068246.py | py | 691 | python | zh | code | 0 | github-code | 90 |
31658225000 | def Anagram(s1,s2):
str1=sorted(s1)
str2=sorted(s2)
if len(str1)!=len(str2):
return False
else:
for i in range(len(str1)):
if str1[i]!=str2[i]:
return False
return True
if __name__=='__main__':
#s1 = ['l', 'h', 'u', 'v', 'o']
#s2 = ['h', 's... | mahdis4092/Python-Data-structure-and-Algorithms | Array Problem solve/Anagram problem solution.py | Anagram problem solution.py | py | 406 | python | kn | code | 0 | github-code | 90 |
41266359003 | import csv
import os
import shutil
from PIL import Image
def attribute(i):
if int(i) ==0:
return "sepal length in cm"
if int(i) ==1:
return "sepal width in cm"
if int(i)==2:
return "petal length in cm"
if int(i) ==3:
return "petal width in cm"
def draw_ori_tree():
csvfile=open("dec_tree.csv","r")
reade... | AKUMA58/Decision-Tree-Visualization-with-Iris-Dataset | ori_tree.py | ori_tree.py | py | 2,034 | python | en | code | 0 | github-code | 90 |
42799887584 | import json
import numpy as np
import torch
import math
class TokenClassifier:
def __init__(self):
self.vocab = [
'ศูนย์', 'หนึ่ง', 'สอง', 'สาม', 'สี่', 'ห้า', 'หก', 'เจ็ด', 'แปด', 'เก้า', 'สิบ',
'ลบ', 'ลิงกั้ว', 'ลิงกัว', 'บัคคัล', 'บัคคอล', 'มีเสี้ยว', 'ดิสทัล', 'ทั้งหมด',
... | kracker71/dentist-voice-assistant-capstone-v2 | backend_ner/utils/model.py | model.py | py | 5,372 | python | th | code | 0 | github-code | 90 |
38218120951 | import numpy as np
import scipy.integrate
import warnings
if scipy.__version__.startswith('1.4'):
from scipy.integrate.quadrature import AccuracyWarning
else:
from scipy.integrate._quadrature import AccuracyWarning
from SWESimulators import CDKLM16, Common
class DoubleJetPerturbationType:
"""
An ... | metno/gpu-ocean | gpu_ocean/SWESimulators/DoubleJetCase.py | DoubleJetCase.py | py | 17,378 | python | en | code | 10 | github-code | 90 |
25290952120 | import tempfile
import unittest
from pimlicotest import example_path
class PipelineConfigTest(unittest.TestCase):
def setUp(self):
# Get a basic local config file so Pimlico doesn't go looking for one on the system
self.local_conf_path = example_path("examples_local_config")
# Create a tem... | markgw/pimlico | src/test/python/pimlicotest/core/config.py | config.py | py | 1,560 | python | en | code | 6 | github-code | 90 |
30020744147 | from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QDialog,QInputDialog,QLineEdit,QMessageBox
import pyodbc
from decimal import Decimal
import Vasa
import os
import sys
from Odbc_Connection import Add_Odbc_Connection
class Ui_New_product_dialog(object):
def setupUi(self, New_product_dialog):
... | rvssankar/vasa_studio | Add_Function_Product.py | Add_Function_Product.py | py | 18,294 | python | en | code | 0 | github-code | 90 |
18550317839 | #!/usr/bin/env python3
import sys
def main():
S = input()
T = 'abcdefghijklmnopqrstuvwxyz'
if len(S) < 26:
U = set(T) - set(S)
print(S + sorted(U)[0])
else:
if S == T[::-1]:
print(-1)
else:
count = 1
for i in range(25):
... | Aasthaengg/IBMdataset | Python_codes/p03393/s376274470.py | s376274470.py | py | 644 | python | en | code | 0 | github-code | 90 |
27362383849 | import numpy as np
import numpy.linalg as linalg
import math
import random
# utils
def is_row_vector(vector):
return vector.shape[0] == 1
def is_col_vector(vector):
return vector.shape[1] == 1
def matrix_dimensions_match(first, second):
return first.shape[1] == second.shape[0]
# functions
def portfo... | Hubertus444/investments | basics.py | basics.py | py | 4,204 | python | en | code | 0 | github-code | 90 |
18455635219 | from operator import itemgetter
from itertools import accumulate
n,k = map(int, input().split())
sushi = [list(map(int, input().split())) for i in range(n)]
sushi.sort(key=itemgetter(1))
sushi.reverse()
# 各ネタ最大美味しさの寿司
a = []
# それ以外の寿司
b = []
# aにすでに入っているネタ = 1
in_a = [0]*(n+1)
for i in range(n):
t,d = sushi... | Aasthaengg/IBMdataset | Python_codes/p03148/s012977204.py | s012977204.py | py | 656 | python | en | code | 0 | github-code | 90 |
28348946727 | import pytest
import json
from humps import decamelize
from eth_account import Account, messages
from siwe.siwe import SiweMessage, ValidationError
BASE_TESTS = "tests/siwe/test/"
with open(BASE_TESTS + "parsing_positive.json", "r") as f:
parsing_positive = decamelize(json.load(fp=f))
with open(BASE_TESTS + "par... | 0xdaem0n/siwe-py | tests/test_siwe.py | test_siwe.py | py | 2,910 | python | en | code | null | github-code | 90 |
19263579254 | #!/usr/bin/python3
from flask import Flask, jsonify, request, make_response, abort
import psycopg2
import psycopg2.extras
from . import *
app = Flask(__name__)
config = load_configuration('/var/www/robodoge/config.yml')
try:
merger = Robodoge(config)
except ConfigurationError as err:
print(err.msg)
sys.exi... | rnicoll/robodoge | robodoge/coordinator.py | coordinator.py | py | 6,901 | python | en | code | 0 | github-code | 90 |
70762201898 | """
Proyecto Python MySQL:
- Abrir aistente
- Login o registro
- Si elegimos registro, creará un usuario en la base de datos
- Si elegimos login, identificará al usuario y nos preguntará
- Crear nota, mostrar nota, borrarlas
"""
# carpeta archivo
from usuarios import acciones
print("""
Acciones disponible:
... | AlexSR2590/curso-python | 20-proyecto-python/main.py | main.py | py | 550 | python | es | code | 0 | github-code | 90 |
13088364217 | import os
class Pajaro:
alas = True
def __init__(self, tipo, color):
self.t = tipo
self.c = color
@classmethod
def volar(cls):
print(f"Las aves tienen alas: {cls.alas}")
def cantidad_huevos(self):
if self.t =="Canario":
return "3"
else:
... | jimymora1965/Practica-POO-dia-8-Udemy | pajaro_huevos_metodoDeClase.py | pajaro_huevos_metodoDeClase.py | py | 570 | python | es | code | 0 | github-code | 90 |
683154915 | #!/usr/bin/env python
import requests
from solar.core.resource import virtual_resource as vr
from solar.events.api import add_event
from solar.events.controls import React
discovery_service = 'http://0.0.0.0:8881'
bareon_partitioning = 'http://0.0.0.0:9322/v1/nodes/{0}/partitioning'
bareon_repos = 'http://0.0.0.0:93... | Mirantis/solar | examples/provisioning/provision.py | provision.py | py | 2,363 | python | en | code | 8 | github-code | 90 |
25201143779 | import requests
import xml.etree.ElementTree as ET
import pandas as pd
def fetch_fasta_sequence(transcript_id):
try:
# Send GET request to the NCBI e-utilities server
r = requests.get(
f"https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=nucleotide&id={transcript_id}&rettype... | flyfir248/UPGMA-Gene-analysis-test | task 1 final.py | task 1 final.py | py | 2,838 | python | en | code | 0 | github-code | 90 |
29362482320 | import matplotlib.pyplot as plt
import numpy as np
import enems
if __name__ == "__main__":
# ## LOAD DATA ################################################################################################### #
test_data_obs = enems.load_data_obs().values
test_data_df = enems.load_data_75()
... | adlzanchetta/en-ems | test/test_plot_with_obs.py | test_plot_with_obs.py | py | 3,535 | python | en | code | 0 | github-code | 90 |
18422306119 | from itertools import permutations
from math import ceil
times = list(int(input()) for _ in range(5))
orders = list(permutations(times, 5))
minimum = sum(ceil(time/10)*10 for time in times)
for order in orders:
cnt = order[0]
for i in range(1, 5):
cnt += ceil(order[i]/10)*10
minimum = min(minimum,... | Aasthaengg/IBMdataset | Python_codes/p03076/s673792187.py | s673792187.py | py | 341 | python | en | code | 0 | github-code | 90 |
40540311795 | from __future__ import print_function
# Add local python path to the global path and import standard library modules...
import os
import sys; sys.path.insert(0, os.path.join(os.path.dirname(sys.argv[0]), "..", "lib", "Python"))
import time
import re
import multiprocessing as mp
# RDKit imports...
try:
from rdkit... | sirimullalab/redial-2020 | mayachemtools/bin/RDKitRemoveSalts.py | RDKitRemoveSalts.py | py | 25,643 | python | en | code | 5 | github-code | 90 |
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